A tool for graphing data from the Octopus Energy API
Project description
Octopy Graph
A tool for graphing data from the Octopus Energy API
Getting Started
Installing
Either clone directly from the repo or install using pip
pip install octopy-graphs
Running
The tool is run using python3.7\6. For help text use:
python3.7 -m octopy_graph.__main__ -h
You will need the following information:
apikey- If you are an Octopus Energy customer, you can get an API key from your online dashboard.gasserial- The gas meters serial number. Printed on your gas meter and on your bill. Looks like G3P69380371200.mprn- The MPRN for your gas meter. On your bill as Meter Point Reference, looks like 3429439001.electricserial- The electricity meters serial number. Printed on your meter and on your bill. Looks like 12P1022008.mpan- The MPAN for you electricity meter. On your bill as Supply Number, looks like 2019820081223
Examples
The tool uses plotly to graph data. Here are some examples.
Daily
A graph showing gas and electricity usage on a specific date.
Weekly
A graph showing gas and electricity usage for a specific week.
Average Hourly
A graph showing the average energy usage at specific times during the day.
Average Daily
A graph showing the average energy usage on specific days of the week.
Average Weekly
A graph showing the average energy usage on weeks throughout the year.
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Source Distribution
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Hashes for octopy_graph-0.1-py3-none-any.whl
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